Afficher la notice abrégée

dc.contributor.authorFirl, Jonas*
dc.date.accessioned2021-02-11T23:55:01Z
dc.date.available2021-02-11T23:55:01Z
dc.date.issued2014*
dc.date.submitted2019-07-30 20:02:02*
dc.identifier35619*
dc.identifier.issn16134214*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/57005
dc.description.abstractIn this work an approach is presented to model and recognize traffic maneuvers in terms of interactions between different traffic participants on extra urban roads. Results of the recognition concept are presented and evaluated using different sensor setups and its benefit is outlined by an integration into a software framework in the field of Car-to-Car (C2C) communications. Furthermore, recognition results are used in this work to robustly predict vehicle’s trajectories while driving dynamic*
dc.languageEnglish*
dc.relation.ispartofseriesSchriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.otherNachrichtenverifizierung*
dc.subject.otherTrajectory Prediction*
dc.subject.otherManeuver Recognition*
dc.subject.otherProbabilistic Models*
dc.subject.otherMessage Verification*
dc.subject.otherSituationsanalyse*
dc.subject.otherProbabilistische Modellierung*
dc.subject.otherTrajektorienprädiktionSituation Assessment*
dc.subject.otherFahrmanövererkennung*
dc.titleProbabilistic Maneuver Recognition in Traffic Scenarios*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000043680*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731502876*
oapen.pagesVI, 150 p.*
oapen.volume031*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée

https://creativecommons.org/licenses/by-sa/4.0/
Excepté là où spécifié autrement, la license de ce document est décrite en tant que https://creativecommons.org/licenses/by-sa/4.0/